Abstract
The complex topography in mountainous regions, exemplified by factors like slope aspect, leads to noticeable variations in vegetation patterns, which are fundamental for understanding mountain ecosystems. However, a consistent global-scale quantification of topography's influence on vegetation patterns is still lacking. Here, we utilize two phenological metrics as proxies for vegetation-maximum vegetation greenness and seasonal greenness amplitude-computed from Sentinel-2 images, to quantify differences across three topographic factors: slope aspect, steepness, and elevation within each 0.15°×0.15° mountain grid. Our mapping reveals clear geographic patterns indicating that topography strongly influences vegetation in arid and polar ecosystems, with an influence approximately 1.9 times higher than in temperate ecosystems. Topography is also important in humid regions, as demonstrated by diverse vegetation types growing on different slope aspects, steepness levels, and elevations. Additionally, the impacts of slope aspect, steepness, and elevation vary within the same region. In 25.9% of mountain grids, slope aspect causes the largest difference in vegetation patterns, while elevation and steepness account for 43.1% and 31%, respectively. Our study highlights the hotspot areas where topographic effects on vegetation patterns are most pronounced, enabling researchers to focus on these regions for better parameterization of Earth system models.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 2404232 |
| Tidsskrift | International Journal of Digital Earth |
| Vol/bind | 17 |
| Udgave nummer | 1 |
| Antal sider | 20 |
| ISSN | 1753-8947 |
| DOI | |
| Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:This work was supported by National Key Research and Development Program of China: [Grant Number 2020YFA0608704]; National Natural Science Foundation of China: [Grant Number 42001299]; FORMAS: [Grant Number Dnr. 2021-00644; Dnr 2021-02436]; Swedish National Space Agency: [Grant Number SNSA 2021-00144].
Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Finansiering
This work was supported by National Key Research and Development Program of China: [Grant Number 2020YFA0608704]; National Natural Science Foundation of China: [Grant Number 42001299]; FORMAS: [Grant Number Dnr. 2021-00644; Dnr 2021-02436]; Swedish National Space Agency: [Grant Number SNSA 2021-00144].
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